Chatbot interactions: How consumption values and disruptive situations influence customers' willingness to interact

Information Systems Journal, Год журнала: 2024, Номер 34(5), С. 1579 - 1625

Опубликована: Янв. 30, 2024

Abstract Chatbots offer customers access to personalised services and reduce costs for organisations. While some initially resisted interacting with chatbots, the COVID‐19 outbreak caused them reconsider. Motivated by this observation, we explore how disruptive situations, such as outbreak, stimulate customers' willingness interact chatbots. Drawing on theory of consumption values, employed interviews identify emotional, epistemic, functional, social values that potentially shape Findings point six suggest situations influence WTI Following theoretical insights collectively contribute behaviour, set up a scenario‐based study fuzzy qualitative comparative analysis. We show who experience all are willing those none not, irrespective situations. chatbots among configurations would otherwise not have been sufficient. complement picture relevant technology interaction highlighting epistemic value curiosity an important driver In doing so, configurational perspective explains interaction.

Язык: Английский

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Managing with Artificial Intelligence: An Integrative Framework

Academy of Management Annals, Год журнала: 2025, Номер unknown

Опубликована: Янв. 8, 2025

Managing with artificial intelligence (AI) refers to humans' interaction algorithms performing managerial tasks in organizations. Two literatures exploring this interaction—human-AI collaboration (HAIC) and algorithmic management (AM)—have focused on distinct tasks: while HAIC examines executive decision-making, AM focuses control. This article presents a review of both identify opportunities for integration advancement. We observe that HAIC's AM's micro-level emphases different have resulted diverging conceptualizations context, agency, interaction, outcome. Adopting more encompassing systems lens, we unveil previously concealed linkages between AM, suggesting the two analyzed sides same phenomenon: explores how humans use AI manage, describes are managed by AI. develop an integrative framework elevates viewpoint from organizational individual collective local systemic multilevel outcomes. By employing framework, lay foundations perspective managing

Язык: Английский

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Exploring the New Playing Field: The Input-Output Principle of Meta-Sports

Journal of Management Information Systems, Год журнала: 2025, Номер 42(1), С. 70 - 104

Опубликована: Янв. 2, 2025

Язык: Английский

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Too much light blinds: The transparency-resistance paradox in algorithmic management

Computers in Human Behavior, Год журнала: 2024, Номер 161, С. 108403 - 108403

Опубликована: Авг. 10, 2024

Язык: Английский

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Redefining boundaries in innovation and knowledge domains: Investigating the impact of generative artificial intelligence on copyright and intellectual property rights

Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(4), С. 100630 - 100630

Опубликована: Окт. 1, 2024

Язык: Английский

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A two-stage multi-task learning model for predicting and interpreting received answers in online mental health communities

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126583 - 126583

Опубликована: Янв. 1, 2025

Язык: Английский

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Decision-making in the selection processes of managerial successors in business families and its influence with the use of cutting-edge technologies such as AI: a systematic review of the literature

Journal of Family Business Management, Год журнала: 2024, Номер unknown

Опубликована: Окт. 10, 2024

Purpose To describe how decision-making in the selection processes of managerial successors business families is influenced by use cutting-edge technologies such as AI. Design/methodology/approach Systematic literature review 65 articles indexed Scopus and main specialized journals on family businesses. Findings The integration AI algorithms, specifically procedures, raises major questions faces legal ethical issues that affect employee performance, moral commitment fairness processes. These aspects are important to ensure transparency, accountability they provide insight into practices succession challenges possibility using signaling games addressing gender biases information asymmetries have been reported past research could be complemented these actions. Research limitations/implications limitations this mainly attributed exclusive a single database (Scopus), which limit access relevant literature; Furthermore, exclusion certain articles, despite focusing prestigious families, may overlooked contributions; 20-year scope ended February August 2024 omits subsequent publications enriched findings study. Originality/value best author’s knowledge, study first its kind conduct bibliometric analysis covering line successor process leveraged new AI, an aspect has little addressed literature. In addition, work traces selection. great value since it allows illustrate consistent way relationship between executive affected different identify gaps make strategic decisions regarding management successions BFs. provides framework for future area.

Язык: Английский

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Ethics in the Age of Algorithms: Unravelling the Impact of Algorithmic Unfairness on Data Analytics Recommendation Acceptance

Information Systems Journal, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 26, 2024

ABSTRACT Algorithms used in data analytics (DA) tools, particularly high‐stakes contexts such as hiring and promotion, may yield unfair recommendations that deviate from merit‐based standards adversely affect individuals. While significant research fields machine learning human–computer interaction (HCI) has advanced our understanding of algorithmic fairness, less is known about how managers organisational perceive respond to recommendations, terms individual‐level distributive fairness. This study focuses on job promotions uncover unfairness impacts managers' perceived fairness their subsequent acceptance DA recommendations. Through an experimental study, we find (1) (against women) promotion reduces influencing these recommendations; (2) trust competency moderates the relationship between recommendation acceptance; (3) moral identity impact These insights contribute existing literature by elucidating plays a critical role outputs contexts, highlighting importance processes.

Язык: Английский

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The Power of Precision: How Algorithmic Monitoring and Performance Management Enhances Employee Workplace Well‐Being

New Technology Work and Employment, Год журнала: 2024, Номер unknown

Опубликована: Дек. 25, 2024

ABSTRACT Can algorithmic control positively impact employee well‐being in the workplace? This study examines potential benefits of control, particularly through monitoring work activities and assessing performance, enhancing employees' workplace within conventional employment settings. Grounded labour process theory, our analysis a multi‐wave data set reveals that both performance management can foster perceptions organizational fairness, which subsequently supports well‐being. Additionally, finds transparency further strengthens these positive effects, emphasizing value clear accessible communication around processes. These insights offer practical framework for leveraging tools to harness power precision, fairness promoting

Язык: Английский

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AI as a talent management tool: An organizational justice perspective

Business Horizons, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

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